-
-
Notifications
You must be signed in to change notification settings - Fork 16.7k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Roboflow for Datasets, Labeling, and Active Learning BUG #11771
Comments
👋 Hello @tonygem2022, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit. Introducing YOLOv8 🚀We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀! Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects. Check out our YOLOv8 Docs for details and get started with: pip install ultralytics |
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help. For additional resources and information, please see the links below:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed! Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ |
@tonygem2022 hi there! It looks like the issue you're encountering is related to the API key being of an incorrect type. The code is expecting the API key to be a string, but it seems to be receiving a NoneType. Have you set and passed the correct API key for the Roboflow import? If you need further assistance, I recommend reaching out to the Ultralytics documentation at https://docs.ultralytics.com/yolov5 for guidance on setting up the API key correctly. If you have any other questions, feel free to ask! |
Search before asking
YOLOv5 Component
Training
Bug
When running: #4975
importing the roboflow data (rf = Roboflow(model_format="yolov5", notebook="ultralytics")) returns the following:
RuntimeError: API Key is of Incorrect Type
Expected Type: <class 'str'>
Input Type: <class 'NoneType'>
Unable to see why?
Environment
Running in COLAB environment
Minimal Reproducible Example
from roboflow import Roboflow
rf = Roboflow(model_format="yolov5", notebook="ultralytics")
RuntimeError Traceback (most recent call last)
in <cell line: 2>()
1 from roboflow import Roboflow
----> 2 rf = Roboflow(model_format="yolov5", notebook="ultralytics")
2 frames
/usr/local/lib/python3.10/dist-packages/roboflow/init.py in check_key(api_key, model, notebook, num_retries)
18 def check_key(api_key, model, notebook, num_retries=0):
19 if type(api_key) is not str:
---> 20 raise RuntimeError(
21 "API Key is of Incorrect Type \n Expected Type: "
22 + str(type(""))
RuntimeError: API Key is of Incorrect Type
Expected Type: <class 'str'>
Input Type: <class 'NoneType'>
Additional
No response
Are you willing to submit a PR?
The text was updated successfully, but these errors were encountered: